The Theoretical Systems Biology Group
The research in the Theoretical Systems Biology Group covers a wide range of biological problems and uses a diverse set of mathematical and statistical techniques. Our main research interests are in molecular and evolutionary systems biology, mathematical modelling and statistical inference applied to biological processes. The common themes to our work are the analysis of stochastic processes which give rise to highly structured data, and the development of tools to reverse-engineer the structure, dynamics and evolutionary history of biological systems. We are applying these tools to a broad range of prokaryotic, simple and metazoan (including humans) biological systems.
The main areas of our research are:
- Bayesian Reverse Engineering of Biological Systems
- Approximate Bayesian Computation (ABC) for Dynamical Systems
- Dynamical Bayesian Networks and Graphical Models of Complex Data
- Robust Analysis of Complex Biological Systems
- Functional Analysis of Biological Systems, especially
- Molecular Interaction Networks
- Signalling and Stres s Response Networks
- Signal Transduction in Health and Disease
- Host-Pathogen Interactions
- Evolutionary Systems Biology
- Data-Integration and Statistical Bioinformatics
- Mathematical Models of Complex Systems and Networks
Our work is funded by The Wellcome Trust, BBSRC, MRC, EMBO, The Royal Society and The Carlsberg Foundation.
The members of the Theoretical Systems Biology Group come from a variety of different backgrounds, ranging from Biology to Theoretical Physics. We are involved in the new BBSRC/EPSRC Centre for Integrative Systems Biology and the Institute of Mathematical Sciences at Imperial College London.
For further information about our research or opportunities in our group please contact m.stumpf@imperial.ac.uk.
